Which of the following is about F-test is NOT true? Group of answer choices a. F-test...
Which of the following is about F-test is NOT true?
Group of answer choices
a. F-test is used to test whether two independent populations have the same mean.
b. F-test is used to study the variances of two populations in order to test the assumption of equal variances
c. The test statistic for F-test follows F distribution
d. The lower-tail critical value of the F distribution FL is computed by taking the reciprocal of FU.
Homework Answers
The statement about F-test which is NOT true -
ans-> a. F-test is used to test whether two independent populations have the same mean.
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Which of the following is about F-test is NOT true?
Group of answer choices
a. F-test...
When you conduct a t test for independent means, ____. Group of answer choices you reject...
When you conduct a t test for independent means, ____. Group of answer choices you reject the null hypothesis if the t score is more extreme than the cutoff (criterion) t score you need to make sure that the medians of the two populations are equal you need to make sure that the two sample sizes are exactly the same you should only use an alpha level of .01 because of the lower power of this test compared to dependent-means...
10. Hypothesis Test for Two Populations including t-Test for μ1-μ1 t-Test for μd F-Test for We...
10. Hypothesis Test for Two Populations including t-Test for μ1-μ1 t-Test for μd F-Test for We are interested in determining whether or not the variances of the sales at two small grocery stores are equal. A sample of 21 days of sales at Store A and a sample of 16 days of sales at Store B indicated the following Store A Store B nA=21 nB=16 SA=28.284 SB=20 Which of the following is critical values of F at 95% confidence? Group...
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Which of the following statements about experiments is true? Group of answer choices None of these is true. All experiments must have a control group. Random assignment is only critical for treatment groups, as opposed to control groups. Matching can be used in any experiment to eliminate lurking variables. Blocking is employed to reduce variation.
Consider a situation where we want to compare means, M1 and 42 of two populations, Group...
Consider a situation where we want to compare means, M1 and 42 of two populations, Group 1 and Group 2, respectively. A random sample of 40 observations was selected from each of the two populations. The following table shows the two-sample t test results at a = 5% assuming equal population variances: t-Test: Two-Sample Assuming Equal Variances Group 2 28652 33.460 40 Mean Variance Observations Pooled Variance Hypothesized Mean Difference d t Stat PTcut) one-tail Critical one-tail PTC-t) two-tail Critical...
You conduct a hypothesis test about a population proportion p at a significance level of a...
You conduct a hypothesis test about a population proportion p at a significance level of a = .01 using a random sample of size n = 38. Your test statistic follows a standard normal distribution when the null hypothesis is true as an equality, and its value obtained from the sample is z = -2.75. Use the Distributions tool to help you answer the questions that follow. Select a Distribution Distributions 0 1 2 3 If you perform a lower...
Please help with the following multiple choice 1. In the one-way ANOVA where there are k...
Please help with the following multiple choice 1. In the one-way ANOVA where there are k treatments and n observations, the degrees of freedom for the F-statistic are equal to, respectively: a. n and k. b. k and n. c. n − k and k − 1. d. k − 1 and n − k. 2. In ANOVA, the F-test is the ratio of two sample variances. In the one-way ANOVA (completely randomized design), the variance used as a numerator...
a) true b) false 42. For a chi-square distributed random variable with 10 degrees of freedom and a level of sigpificanoe computed value of the test statistics is 16.857. This will lead us to reje...
a) true b) false 42. For a chi-square distributed random variable with 10 degrees of freedom and a level of sigpificanoe computed value of the test statistics is 16.857. This will lead us to reject the null hypothesis. a) true b) false 43. A chi-square goodness-of-fit test is always conducted as: a. a lower-tail test b. an upper-tail test d. either a lower tail or upper tail test e. a two-tail test 44. A left-tailed area in the chi-square distribution...
8. A two-tailed hypothesis test for a repeated-measures design Аа Аa A graduate student is interested...
8. A two-tailed hypothesis test for a repeated-measures design Аа Аa A graduate student is interested in whether journaling can affect grief and healing. For his study, he selects a random sample of 64 adults who have been widowed within the past 10 to 14 months. The subjects complete a battery of psychological questionnaires before and after spending two months journaling about their emotions. Before the two months of journaling, the mean score on the impact of event scale-avoidance subscale,...
Which of the following statements is (are) true for a risk averse investor? Group of answer...
Which of the following statements is (are) true for a risk averse investor? Group of answer choices Neither of the above statements are true. If two investment alternatives have equal returns, choose the one with lower risk. If two investment alternatives have equal risk, choose the one with lower return. Both of the above statements are true.
The following data represent the results from an independent-measures study comparing two treatment conditions. Treatment Treatment...
The following data represent the results from an independent-measures study comparing two treatment conditions. Treatment Treatment One Two 2.5 7.2 5.2 7.6 5.8 4.4 6.3 4.5 4.7 5.2 4.8 3 Using technology, run the One-way ANOVA Test for this data: F-ratio: p-value: Now, run the Two Independent Sample t test on the same data: Note: Do this with "pooled variances" since one assumption we make with ANOVA is that the variances for each group are equal. t-statistic: p-value: Do you...
Consider a situation where we want to compare means, M1 and 42 of two populations, Group 1 and Group 2, respectively. A random sample of 40 observations was selected from each of the two populations. The following table shows the two-sample t test results at a = 5% assuming equal population variances: t-Test: Two-Sample Assuming Equal Variances Group 2 28652 33.460 40 Mean Variance Observations Pooled Variance Hypothesized Mean Difference d t Stat PTcut) one-tail Critical one-tail PTC-t) two-tail Critical...
You conduct a hypothesis test about a population proportion p at a significance level of a = .01 using a random sample of size n = 38. Your test statistic follows a standard normal distribution when the null hypothesis is true as an equality, and its value obtained from the sample is z = -2.75. Use the Distributions tool to help you answer the questions that follow. Select a Distribution Distributions 0 1 2 3 If you perform a lower...
a) true b) false 42. For a chi-square distributed random variable with 10 degrees of freedom and a level of sigpificanoe computed value of the test statistics is 16.857. This will lead us to reject the null hypothesis. a) true b) false 43. A chi-square goodness-of-fit test is always conducted as: a. a lower-tail test b. an upper-tail test d. either a lower tail or upper tail test e. a two-tail test 44. A left-tailed area in the chi-square distribution...
8. A two-tailed hypothesis test for a repeated-measures design Аа Аa A graduate student is interested in whether journaling can affect grief and healing. For his study, he selects a random sample of 64 adults who have been widowed within the past 10 to 14 months. The subjects complete a battery of psychological questionnaires before and after spending two months journaling about their emotions. Before the two months of journaling, the mean score on the impact of event scale-avoidance subscale,...
The following data represent the results from an independent-measures study comparing two treatment conditions. Treatment Treatment One Two 2.5 7.2 5.2 7.6 5.8 4.4 6.3 4.5 4.7 5.2 4.8 3 Using technology, run the One-way ANOVA Test for this data: F-ratio: p-value: Now, run the Two Independent Sample t test on the same data: Note: Do this with "pooled variances" since one assumption we make with ANOVA is that the variances for each group are equal. t-statistic: p-value: Do you...
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